AU2010303899B2 - Variable grid for finite difference computation - Google Patents

Variable grid for finite difference computation Download PDF

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AU2010303899B2
AU2010303899B2 AU2010303899A AU2010303899A AU2010303899B2 AU 2010303899 B2 AU2010303899 B2 AU 2010303899B2 AU 2010303899 A AU2010303899 A AU 2010303899A AU 2010303899 A AU2010303899 A AU 2010303899A AU 2010303899 B2 AU2010303899 B2 AU 2010303899B2
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points
grid
model
computer
geophysical model
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AU2010303899A1 (en
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Joseph P. Stefani
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Chevron USA Inc
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Chevron USA Inc
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00Details of seismic processing or analysis
    • G01V2210/60Analysis
    • G01V2210/67Wave propagation modeling
    • G01V2210/673Finite-element; Finite-difference

Abstract

A computer system and a computer-implemented method for evaluating a geophysical model using a grid of points representing locations in a subsurface geological region are disclosed. The method includes storing a geophysical model of the subsurface geological region in a computer readable memory and defining, for the geophysical model, the grid of points representing the locations in the subsurface geological region. The grid of points comprise a plurality of points extending in at least one direction. The plurality of points are variably spaced apart in the at least one direction. The method further includes evaluating, by the computer, the geophysical model using the grid of points.

Description

VARIABLE GRID FOR FINITE DIFFERENCE COMPUTATION FIELD OF THE INVENTION The present invention pertains in general to computation methods and more particularly 5 to a computer system and computer-implemented method for evaluating a geophysical model using a grid of points representing locations in a subsurface geological region. BACKGROUND OF THE INVENTION Finite difference calculations using a computer are generally computer and time intensive due to the number of points involved in the calculation. For example, in geophysical 0 models, as many as a billion points (109 points) can be used in the computation of the geophysical models. Generally, the greater the number of points the greater is the period of time required to perform the calculation. The calculation time can be reduced by increasing the computational resources, for example by using multi-processor computers or by performing the calculation in a networked distributed computing environment. However, this requires 5 expensive computer resources which can increase the overall cost of the calculation. The present invention addresses various issues relating to the above. Reference to any prior art in the specification is not, and should not be taken as, an acknowledgment or any form of suggestion that this prior art forms part of the common general knowledge in Australia or any other jurisdiction or that this prior art could reasonably be 20 expected to be ascertained, understood and regarded as relevant by a person skilled in the art. SUMMARY OF THE INVENTION According to one aspect of the present invention, there is provided a computer implemented method for evaluating a geophysical model using a grid of points representing 5 locations in a subsurface geological region, comprising: storing a geophysical model of the subsurface geological region in a computer readable memory; defining, for the geophysical model, the grid of points representing the locations in the subsurface geological region, the grid of points comprising a plurality of points extending in at least one direction, the plurality of points being logarithmically variably spaced apart in the at least one direction, wherein a number 0 n of the plurality of points is calculated using the following formula: n = ln(N*e+1)/ln(e+1), 1 where e is an expansion factor, and N is an initial number of points that are equally spaced apart; and evaluating, by the computer, the geophysical model using the grid of points. According to a second aspect of the present invention, there is provided a system for evaluating a geophysical model using a grid of points representing locations in a subsurface 5 geological region, comprising: a computer readable memory configured to store the geophysical model of the subsurface geological region; and a computer processor in communication with the computer readable memory, the computer processor being configured to: define, for the geophysical model, the grid of points representing the locations in the subsurface geological region, the grid of points comprising a plurality of points extending in at least one direction, the 0 plurality of points being logarithmically variably spaced apart in the at least one direction, wherein a number n of the plurality of points is calculated using the following formula: n = ln(N*e+1)/ln(e+1), where e is an expansion factor, and N is an initial number of points that are equally spaced apart; and evaluate the geophysical model using the grid of points. One embodiment of the present invention is to provide a computer-implemented method 5 for evaluating a geophysical model using a grid of points representing locations in a subsurface geological region. The method includes storing a geophysical model of the subsurface geological region in a computer readable memory and defining, for the geophysical model, the grid of points representing the locations in the subsurface geological region. The grid of points comprise a plurality of points extending in at least one direction. The plurality of points are 0 variably spaced apart in the at least one direction. The method further includes evaluating, by the computer, the geophysical model using the grid of points. Another embodiment of the present invention is to provide a system for evaluating a geophysical model using a grid of points representing locations in a subsurface geological region. The system comprises a computer readable memory and a computer processor in 25 communication with the computer readable memory. The computer readable memory is configured to store the geophysical model of the subsurface geological region. The computer processor is configured to define, for the geophysical model, the grid of points representing the locations in the subsurface geological region, the grid of points comprising a plurality of points extending in at least one direction, the plurality of points being variably spaced apart in the at 0 least one direction. The computer processor is further configured to evaluate the geophysical model using the grid of points. 2 Although the various steps of the method of providing are described in the above paragraphs as occurring in a certain order, the present application is not bound by the order in which the various steps occur. In fact, in alternative embodiments, the various steps can be 5 executed in an order different from the order described above or otherwise herein. These and other objects, features, and characteristics of the present invention, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, will become more apparent upon consideration of the following description and the appended claims with reference to the accompanying drawings, 10 all of which form a part of this specification, wherein like reference numerals designate corresponding parts in the various figures. In one embodiment of the invention, the structural components illustrated herein are drawn to scale. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. As used in the specification and in the claims, the 15 singular form of "a", "an", and "the" include plural referents unless the context clearly dictates otherwise. BRIEF DESCRIPTION OF THE DRAWINGS In the accompanying drawings: FIG. 1 is flow chart of a method for evaluating a geophysical model using a grid of 20 points representing locations on a subsurface geological region, according to an embodiment of the present invention; FIG. 2 is a schematic diagram representing a computer system for implementing the method, according to an embodiment of the present invention; FIG. 3 is a schematic diagram depicting a relationship between depth, wave velocity and 25 position of a grid of points along the vertical direction, according to an embodiment of the present invention; 2a WO 2011/043854 PCT/US2010/042852 FIG. 4 is a plot of the number n of the plurality of points in the expanding logarithmic scale as a function of the initial number of points N for a grid of points that are equally spaced apart, when an expansion factor is set to about 0.003, according to an embodiment of the present invention; and 5 FIG. 5 is a plot of the ratio n to N as a function of the number of points N when using a logarithmic scale. DETAILED DESCRIPTION OF THE INVENTION FIG. 1 is flow chart of a method for evaluating a geophysical model using a grid of points representing locations on a subsurface geological region, according to an embodiment of 10 the present invention. In one embodiment, the method is implemented as a series of instructions which can be executed by a computer. As it can be appreciated, the term "computer" is used herein to encompass any type of computing system or device including a personal computer (e.g., a desktop computer, a laptop computer, or any other handheld computing device), or a mainframe or supercomputer, or a plurality of networked computers in 15 a distributed computing environment. For example, the method may be implemented as a software program application which can be stored in a computer readable medium such as hard disks, CDROMs, optical disks, DVDs, magnetic optical disks, RAMs, EPROMs, EEPROMs, magnetic or optical cards, flash cards (e.g., a USB flash card), PCMCIA memory cards, smart cards, or other media. 20 Alternatively, a portion or the whole software program product can be downloaded from a remote computer or server via a network such as the internet, an ATM network, a wide area network (WAN) or a local area network. Alternatively, instead or in addition to implementing the method as computer program product(s) (e.g., as software products) embodied in a computer, the method can be implemented 25 as hardware in which for example an application specific integrated circuit (ASIC) can be designed to implement the method. FIG. 2 is a schematic diagram representing a computer system 10 for implementing the method, according to an embodiment of the present invention. As shown in FIG. 2, computer system 10 comprises a processor (e.g., one or more processors) 20 and a memory 30 in 30 communication with the processor 20. The computer system 10 may further include an input 3 WO 2011/043854 PCT/US2010/042852 device 40 for inputting data (such as keyboard, a mouse or the like) and an output device 50 such as a display device for displaying results of the computation. As shown in FIG. 1, the method includes storing a geophysical model of the subsurface geological region in the computer readable memory 30, at S10. In one embodiment, the model 5 of the earth is a seismic model of the earth. For example, the model of the earth may comprise providing a seismic wave velocity (e.g. sound wave velocity) for a portion of the earth, in which the wave velocity varies (e.g., increases) with a depth in a vertical direction from the earth surface, as shown in FIG. 3. For example, in one model, wave velocities near the surface of the earth, where the rock is less dense (e.g., a fluid or soft rock), are smaller than wave 10 velocities deeper within the earth, where the rock is more dense (e.g., hard rock). In one embodiment, the method further includes defining, for the geophysical model (e.g., earth model), the grid of points representing the locations in the subsurface geological region, the grid of points comprising a plurality of points extending in at least one direction, at S20. The plurality of points are variably spaced apart in the at least one direction. 15 The method further includes evaluating, by the computer, the geophysical model using the grid of points, at S30. In one embodiment, the evaluating model can include using a finite difference computation method. A result of the evaluation (e.g., a result of the computing) can be output through output device 50 (shown in FIG. 2) or transmitted to other computing systems for further evaluation. 20 Thus, as it can be appreciated from the above, the computer processor 20 in communication with the computer readable memory 30 can be configured to define, for the geophysical model, the grid of points representing the locations in the subsurface geological region, the grid of points comprising a plurality of points extending in at least one direction, the plurality of points being variably spaced apart in the at least one direction; and to evaluate the 25 geophysical model using the grid of points. The processor 20 can further be configured to output a result of evaluating the geophysical model through the output device 50 or transmit the result to another computer system (e.g., another computer processor) for further processing and/or evaluation. In one embodiment, the plurality of points can be variably spaced apart such that points 30 representing locations deeper within the subsurface geological region are spaced further apart than are points representing locations less deep within the subsurface geological region, as 4 WO 2011/043854 PCT/US2010/042852 shown in FIG. 3. For example, points A and B which are located deeper within the subsurface are spaced further apart than points C and D which are located closer to the earth surface. In one embodiment, the plurality of points shown in FIG. 3 are variably spaced apart on an expanding scale along the at least one direction (e.g., the vertical direction). In one 5 embodiment, the expanding scale can be tailored to expand with increasing seismic wave velocity. For example, near the earth surface where the wave velocity is relatively slow a fine grid points can be used. Whereas, deeper within the earth where the wave velocity is relatively faster a coarse grid points can be used. In one embodiment, the expanding scale can be tailored to substantially track or match the increase in velocity. The expanding scale can follow, for 10 example, a logarithmic scale, an exponential scale, a polynomial scale, or any hybrid formula scale which can include an exponential component, a polynomial component and/or a logarithmic component. Although, only one direction (e.g., vertical direction) is represented in FIG. 3, as it can be appreciated the model can take into account more than one direction. For example, in one 15 embodiment, when defining the grid of points, this may include selecting a plurality of points with a variable scale along a first direction (e.g., the vertical direction) and selecting another plurality of points with a fixed scale along a second direction (e.g., a direction substantially perpendicular to the vertical direction). In yet another embodiment, when defining the grid of points, this may further include selecting a plurality of points with a fixed scale along a third 20 direction perpendicular to the first direction and the second direction. Furthermore, although as depicted in FIG. 3, the expanding scale is used along one direction, the expanding scale can be used along more than one direction depending on the earth model used. For example, in the case of a logarithmic expanding scale, a logarithmic function can be 25 selected such that distances between two successive grid points are scaled by a constant multiplicative factor approximately equal to one. For example, in the case of a logarithmic scale, if an initial number of points for a grid of points that are equally spaced apart is N, a number n of the plurality of points in the expanding logarithmic scale can be determined by the following equation (1). 30 n = In (N*e + 1) / In (e + 1) (1) 5 WO 2011/043854 PCT/US2010/042852 where e is an expansion factor. The expansion factor e can be selected as desired, for example to match the increase in the seismic wave velocity along the vertical direction. The expansion factor controls the 5 amount of expansion between two successive points in the grid of points. In one embodiment, the expansion factor e is a positive number selected in a range between about 0 and about 0.01. For example, in one embodiment, the expansion factor is selected to be equal to about 0.003 which may be matched to natural changes in earth models with depth. By using an appropriate expansion factor c (e.g., c = 0.003), the computation grid of points can be better matched to 10 earth model properties in depth. FIG. 4 is a plot of the number n of the plurality of points in the expanding logarithmic scale as a function of the initial number of points N for a grid of points that are equally spaced apart, when the expansion factor is set to about 0.003, according to an embodiment of the present invention. As shown in FIG. 4, while the number n is approximately equal to the 15 number N, when N is relatively small (e.g., less than 100), the number n is smaller than the number N, when N is relatively large (e.g., for N greater than 1000). In general, by using an expanding scale (e.g., a logarithmic scale), the number of computational points can be reduced. As a result, a relative computing saving can be realized as a reduced number of points are used to compute or evaluate the model. For example, using 20 an expanding logarithmic scale with an expansion factor e of about 0.003, for an old computational burden of N equal approximately 1000, a new computational burden n is approximately 464. Hence, the ratio of new points to old points is 0.46. Therefore, the cost of the new computation using a grid of points in an expanding scale is simply 46% of the cost of the old computation using a grid of points that are equally spaced apart. 25 FIG. 5 is a plot of the ratio n to N as a function of the number of points N when using a logarithmic scale as defined in equation (1). As clearly shown in FIG. 5, as the number of points N gets larger, the relative computational saving improves, i.e., the saving increases with increasing initial number N of points. For example, as shown in FIG. 5, for a number of points N equals to about 500, the new cost of the computation is about 61% of the old cost of 30 computation. For a number of points N equals to about 1000, the new cost of the computation is about 46% of the old cost of computation. For a number of points N equals to about 2000, the new cost of the computation is about 32% of the old cost of computation. The extra 6 WO 2011/043854 PCT/US2010/042852 computational cost to realize these computational savings is around 1%. This extra computational cost originates from the multiplicative scale change (i.e., scale multiplication). Although the invention has been described in detail for the purpose of illustration based on what is currently considered to be the most practical and preferred embodiments, it is to be 5 understood that such detail is solely for that purpose and that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover modifications and equivalent arrangements that are within the spirit and scope of the appended claims. For example, it is to be understood that the present invention contemplates that, to the extent possible, one or more features of any embodiment can be combined with one or more features of any other 10 embodiment. Furthermore, since numerous modifications and changes will readily occur to those of skill in the art, it is not desired to limit the invention to the exact construction and operation described herein. Accordingly, all suitable modifications and equivalents should be considered as falling within the spirit and scope of the invention. 15 7

Claims (15)

1. A computer-implemented method for evaluating a geophysical model using a grid of points representing locations in a subsurface geological region, comprising: 5 storing a geophysical model of the subsurface geological region in a computer readable memory; defining, for the geophysical model, the grid of points representing the locations in the subsurface geological region, the grid of points comprising a plurality of points extending in at least one direction, the plurality of points being logarithmically variably spaced apart in the at 0 least one direction, wherein a number n of the plurality of points is calculated using the following formula: n = ln(N*e+l)/ln(e+l), where e is an expansion factor, and N is an initial number of points that are equally spaced apart; and .5 evaluating, by the computer, the geophysical model using the grid of points.
2. The method of claim 1, wherein the plurality of points are logarithmically variably spaced apart such that points representing locations deeper within the subsurface geological region are spaced further apart than are points representing locations less deep within the 0 subsurface geological region.
3. The method of claim 1, wherein the model of the earth is a seismic model of the earth.
4. The method of claim 3, wherein providing the model of the earth comprises providing a 25 seismic wave velocity for a portion of the earth, the seismic wave velocity increasing with a depth in a vertical direction from the earth surface.
5. The method of claim 1, wherein defining the grid of points comprises selecting the plurality of points along a vertical direction. 30
6. The method of claim 1, wherein evaluating the geophysical model comprises computing the model using a finite difference computation method. 8
7. The method of claim 1, wherein e is a positive number selected in a range between 0 and 0.01.
8. The method of claim 7, wherein e is equal to about 0.003. 5
9. The method of claim 1, wherein defining the grid of points comprises selecting a plurality of points along a first direction and selecting another plurality of points with a fixed scale along a second direction.
10 10. The method of claim 9, wherein the first direction corresponds to a vertical direction and the second direction corresponds to a direction substantially perpendicular to the vertical direction.
11. The method of claim 9, wherein defining the grid of points comprises further selecting a 15 plurality of points with a fixed scale along a third direction perpendicular to the first direction and the second direction.
12. The method of claim 1, further comprising outputting a result of the evaluating of the geophysical model.
13. A computer program product comprising a tangible nontransitory computer readable medium having instructions stored thereon that when executed by a computer performs the method recited in claim 1. 25
14. A system for evaluating a geophysical model using a grid of points representing locations in a subsurface geological region, comprising: a computer readable memory configured to store the geophysical model of the subsurface geological region; and a computer processor in communication with the computer readable memory, the 30 computer processor being configured to: define, for the geophysical model, the grid of points representing the locations in the subsurface geological region, the grid of points comprising a plurality of points extending in at least one direction, the plurality of points being logarithmically variably spaced apart in the at 9 least one direction, wherein a number n of the plurality of points is calculated using the following formula: n = ln(N*e+1)/ln(e+1), where e is an expansion factor, and N is an initial number of points that are equally spaced apart; 5 and evaluate the geophysical model using the grid of points.
15. The system of claim 14, wherein the processor is further configured to output a result of evaluating the geophysical model. 10
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9383464B2 (en) * 2011-03-18 2016-07-05 Seoul National University R&Db Foundation Seismic imaging apparatus without edge reflections and method for the same
CN109164488B (en) * 2018-10-10 2020-03-17 西安交通大学 Trapezoidal grid finite difference seismic wave field simulation method

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5657223A (en) * 1994-06-03 1997-08-12 Exxon Production Research Company Method for seismic data processing using depth slice decomposition

Family Cites Families (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US474585A (en) * 1892-05-10 Art of cleaning and washing raw sugar
US4464737A (en) * 1981-09-28 1984-08-07 Mobil Oil Corporation Method for migration of seismic reflection waves
US4745585A (en) 1986-04-03 1988-05-17 Western Atlas International, Inc. Method of migrating seismic data
EP0297737A3 (en) * 1987-06-29 1989-05-17 Conoco Inc. Three-dimensional iterative structural modeling of seismic data
US4933911A (en) * 1989-09-01 1990-06-12 Amoco Corporation Method for determining seismic velocities
US5128866A (en) * 1989-09-20 1992-07-07 Chevron Corporation Pore pressure prediction method
US5394325A (en) * 1993-04-07 1995-02-28 Exxon Production Research Company Robust, efficient three-dimensional finite-difference traveltime calculations
CA2244998C (en) * 1996-12-04 2004-03-16 Schlumberger Canada Limited Method, apparatus, and article of manufacture for solving 3d maxwell equations in inductive logging applications
US5999488A (en) * 1998-04-27 1999-12-07 Phillips Petroleum Company Method and apparatus for migration by finite differences
CA2368478C (en) * 1999-03-31 2009-07-14 Exxonmobil Upstream Research Company Method for simulating a characteristic of a physical system
US6324478B1 (en) * 1999-05-10 2001-11-27 3D Geo Development, Inc. Second-and higher-order traveltimes for seismic imaging
US6687659B1 (en) * 2000-03-24 2004-02-03 Conocophillips Company Method and apparatus for absorbing boundary conditions in numerical finite-difference acoustic applications
US6643590B2 (en) * 2002-01-04 2003-11-04 Westerngeco, L.L.C. Method for computing finite-frequency seismic migration traveltimes from monochromatic wavefields
US6615139B1 (en) * 2002-03-28 2003-09-02 Council Of Scientific & Industrial Research Digitally implemented method for automatic optimization of gravity fields obtained from three-dimensional density interfaces using depth dependent density
AU2003245762B2 (en) * 2002-06-28 2008-01-31 Gedex Inc. System and method for surveying underground density distributions
US6675102B1 (en) * 2002-09-13 2004-01-06 Seismic Micro-Technology, Inc. Method of processing seismic geophysical data to produce time, structure, volumes
US7107188B2 (en) * 2003-01-08 2006-09-12 Schlumberger Technology Corporation Digital pressure derivative method and program storage device
FR2875305B1 (en) * 2004-09-16 2006-10-27 Inst Francais Du Petrole METHOD FOR GENERATING A RESERVOIR MODEL ON FLEXIBLE MESH
US7197399B2 (en) * 2005-01-13 2007-03-27 Bp Corporation North America, Inc. Method of multiple attenuation
CN101021568A (en) * 2007-02-07 2007-08-22 匡斌 Three-dimensional integral prestack depth migration method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5657223A (en) * 1994-06-03 1997-08-12 Exxon Production Research Company Method for seismic data processing using depth slice decomposition

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CN102549565A (en) 2012-07-04
CA2776553A1 (en) 2011-04-14
WO2011043854A1 (en) 2011-04-14
US8494778B2 (en) 2013-07-23
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